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The Applied Artificial Intelligence Workshop

You're reading from   The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800205819
Length 420 pages
Edition 1st Edition
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Authors (3):
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Anthony So Anthony So
Author Profile Icon Anthony So
Anthony So
Zsolt Nagy Zsolt Nagy
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Zsolt Nagy
William So William So
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William So
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Toc

Table of Contents (8) Chapters Close

Preface
1. Introduction to Artificial Intelligence 2. An Introduction to Regression FREE CHAPTER 3. An Introduction to Classification 4. An Introduction to Decision Trees 5. Artificial Intelligence: Clustering 6. Neural Networks and Deep Learning Appendix

3. An Introduction to Classification

Overview

This chapter introduces you to classification. You will implement various techniques, such as k-nearest neighbors and SVMs. You will use the Euclidean and Manhattan distances to work with k-nearest neighbors. You will apply these concepts to solve intriguing problems such as predicting whether a credit card applicant has a risk of defaulting and determining whether an employee would stay with a company for more than two years. By the end of this chapter, you will be confident enough to work with any data using classification and come to a certain conclusion.

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